Topics in Nonconvex Optimization Theory and Applications [Paperback]

Nonconvex Optimization is a multi-disciplinary research field that deals with the characterization and computation of local/global minima/maxima of nonlinear, nonconvex, nonsmooth, discrete and continuous functions. Nonconvex optimization problems are frequently encountered in modeling real world systems for a very broad range of applications including engineering, mathematical economics, management science, financial engineering, and social science.

This contributed volume consists of selected contributions from the Advanced Training Programme on Nonconvex Optimization and Its Applications held at Banaras Hindu University in March 2009. It aims to bring together new concepts, theoretical developments, and applications from these researchers. Both theoretical and applied articles are contained in this volume which adds to the state of the art research in this field.

Topics in Nonconvex Optimization is suitable for advanced graduate students and researchers in this area.

This contributed volume consists of papers in the area of nonconvex optimization from researchers practicing in India. It aims to bring together new concepts, theoretical developments, and applications from these researchers.

 Some Equivalences among Nonlinear Complementarity Problems, Least-Element Problems and Variational Inequality Problems in Ordered Spaces. Qamrul Hasan Ansari and Jen-Chih Yao. -Generalized Monotone Maps and Complementarity Problems. S. K. Neogy and A. K. Das. -Optimality Conditions Without Continuity in Multivalued Optimization using Approximations as Generalized Derivatives. Phan Quoc Khanh and Nguyen Dinh Tuan. -Variational Inequality and Complementarity Problem. Sudarsan Nanda. -A Derivative for Semi-preinvex Functions and its Applications in Semi-preinvex Programming. Y.X. Zhao, S.Y. Wang, L.Coladas Uria, S.K. Mishra. -Proximal Proper Sadl³G